Prof. Dr.-Ing. Helge Sören Stein1,2, Sebastian Siol
1:Technical University of Munich, TUM School of Natural Sciences, Department of Chemistry Chair of Digital Catalysis, Munich Institute of Robotics and Machine Intelligence (MIRMI), Munich Data Science Institute (MDSI), Munich Institute of Integrated Materials, Energy and Process Engineering (MEP)
2: Munich Center for Machine Learning (MCML)
Monday, November 24th, 2025, 10.00-11.00 h Empa Dübendorf VE102 https://empa-ch.zoom.us/j/82863139798?pwd=ZNXXbrpe3hFYpjSGXnjDvMZqWk5KJ8.1
Helge Stein develops experimental and computer-aided methods for the accelerated discovery, characterization, and upscaling of new and improved materials in catalysis and for secondary batteries. Experimental data is collected using self-developed robots, planned and evaluated using algorithms and machine learning, and stored in a semantically searchable manner through data management. The goal is to establish a global decentralized material acceleration platform (MAP) ranging from discovery to production. Professor Stein studied physics at the Georg-August University of Göttingen from 2008 to 2013 and obtained his doctorate in 2017 in high-throughput methods in mechanical engineering with summa cum laude at the Ruhr University Bochum. From 2017 until taking up his tenure track professorship in applied electrochemistry at the Karlsruhe Institute of Technology in 2020, he conducted research at the California Institute of Technology (Caltech). In 2023, Professor Stein was appointed to the professorship of Digital Catalysis at TUM. We are very excited to welcome him to Empa. Please feel free to contact me for any further information. Please share the invite with any colleague who might be interested.